Speaker Enrollment

1. A method of speaker modelling for a speaker recognition system, comprising: receiving a signal comprising a speaker's speech; and, for a plurality of frames of the signal: obtaining a spectrum of the speaker's speech; generating at least one modified spectrum, by applying effects related to a respective vocal effort, wherein the step of generating at least one modified spectrum comprises: determining a frequency and a bandwidth of at least one formant component of the speaker's speech; generating at least one modified formant component by modifying at least one of the frequency and the bandwidth of the or each formant component; and generating the modified spectrum from the or each modified formant component; and extracting features from the spectrum of the speaker's speech and the at least one modified spectrum; and forming at least one speech model based on the extracted features.

2. A method according to claim 1 , comprising: obtaining the spectrum of the speaker's speech for a plurality of frames of the signal containing voiced speech.

3. A method according to claim 1 , comprising: obtaining the spectrum of the speaker's speech for a plurality of overlapping frames of the signal.

4. A method according to claim 1 , wherein each frame has a duration between 10 ms and 50 ms.

5. A method according to claim 1 , comprising: generating a plurality of modified spectra, by applying effects related to respective vocal efforts.

6. A method according to claim 1 , wherein the step of forming at least one speech model comprises forming a background model for the speaker recognition system, based in part on said speaker's speech.

7. A method according to claim 1 , comprising determining a frequency and a bandwidth of a number of formant components of the speaker's speech in the range from 3-5.

8. A method according to claim 1 , wherein generating modified formant components comprises: modifying the frequency and the bandwidth of the or each formant component.

9. A method according to claim 1 , wherein the features extracted from the spectrum of the user's speech comprise Mel Frequency Cepstral Coefficients.

10. A method according to claim 1 , wherein the step of forming at least one speech model comprises forming a model of the speaker's speech.

11. A method according to claim 10 , wherein the method is performed on enrolling the speaker in the speaker recognition system.

12. A non-transitory computer readable storage medium having computer-executable instructions stored thereon that, when executed by processor circuitry, cause the processor circuitry to perform a method comprising: receiving a signal comprising a speaker's speech; and for a plurality of frames of the signal: obtaining a spectrum of the speaker's speech; generating at least one modified spectrum, by applying effects related to a respective vocal effort, wherein the step of generating at least one modified spectrum comprises: determining a frequency and a bandwidth of at least one formant component of the speaker's speech; generating at least one modified formant component by modifying at least one of the frequency and the bandwidth of the or each formant component; and generating the modified spectrum from the or each modified formant component; extracting features from the spectrum of the speaker's speech and the at least one modified spectrum; and further comprising: forming at least one speech model based on the extracted features.

13. A system for speaker modelling, the system comprising: an input, for receiving a signal comprising a speaker's speech; and, a processor, configured for, for a plurality of frames of the signal: obtaining a spectrum of the speaker's speech; generating at least one modified spectrum, by applying effects related to a respective vocal effort, wherein the step of generating at least one modified spectrum comprises: determining a frequency and a bandwidth of at least one formant component of the speaker's speech; generating at least one modified formant component by modifying at least one of the frequency and the bandwidth of the or each formant component; and generating the modified spectrum from the or each modified formant component; extracting features from the spectrum of the speaker's speech and the at least one modified spectrum; and forming at least one speech model based on the extracted features.